LoginLlama

Ask questions about your login security data: risk scores, blocked logins, Tor, VPN and bot traffic.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
80%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~930Tokens (Tool-Definitionen)
~1.7 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.73% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "loginllama": {
      "url": "https://loginllama.app/api/v1/mcp"
    }
  }
}

Remote-Endpunkte

https://loginllama.app/api/v1/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (5)

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🟢get_login_stats(days, browser, os, country, device, ...)

Overall login security summary for your team: total checks, average risk score, high-risk count, blocked/failed logins, and bot/Tor/VPN counts. Supports filtering by browser, OS, country, device, user and time window.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "days": {
      "type": "number",
      "description": "Look back this many days (default 30). Omit for all time."
    },
    "browser": {
      "type": "string",
      "description": "Filter by browser, case-insensitive partial match e.g. \"chrome\"."
    },
    "os": {
      "type": "string",
      "description": "Filter by operating system e.g. \"windows\"."
    },
    "country": {
      "type": "string",
      "description": "Filter by country e.g. \"United States\"."
    },
    "device": {
      "type": "string",
      "description": "Filter by device e.g. \"iphone\"."
    },
    "identity_key": {
      "type": "string",
      "description": "Filter to a single user identifier (email, user id, etc)."
    }
  }
}
🟢get_average_risk_score(days, browser, os, country, device, ...)

Average login risk score (0-10) across matching logins. Use the filters to answer questions like "what is my average login risk score for the chrome browser".

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "days": {
      "type": "number",
      "description": "Look back this many days (default 30). Omit for all time."
    },
    "browser": {
      "type": "string",
      "description": "Filter by browser, case-insensitive partial match e.g. \"chrome\"."
    },
    "os": {
      "type": "string",
      "description": "Filter by operating system e.g. \"windows\"."
    },
    "country": {
      "type": "string",
      "description": "Filter by country e.g. \"United States\"."
    },
    "device": {
      "type": "string",
      "description": "Filter by device e.g. \"iphone\"."
    },
    "identity_key": {
      "type": "string",
      "description": "Filter to a single user identifier (email, user id, etc)."
    }
  }
}
🟢get_login_breakdown(dimension, top_n, days, browser, os, ...)

Group logins by a dimension (browser, os, device, country, or status) and return counts, average risk score and high-risk counts per group. Good for "which browser has the highest risk".

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "dimension": {
      "type": "string",
      "enum": [
        "browser",
        "os",
        "device",
        "country",
        "status"
      ],
      "description": "The attribute to group by."
    },
    "top_n": {
      "type": "number",
      "description": "Max groups to return (default 20)."
    },
    "days": {
      "type": "number",
      "description": "Look back this many days (default 30). Omit for all time."
    },
    "browser": {
      "type": "string",
      "description": "Filter by browser, case-insensitive partial match e.g. \"chrome\"."
    },
    "os": {
      "type": "string",
      "description": "Filter by operating system e.g. \"windows\"."
    },
    "country": {
      "type": "string",
      "description": "Filter by country e.g. \"United States\"."
    },
    "device": {
      "type": "string",
      "description": "Filter by device e.g. \"iphone\"."
    },
    "identity_key": {
      "type": "string",
      "description": "Filter to a single user identifier (email, user id, etc)."
    }
  },
  "required": [
    "dimension"
  ]
}
🟢get_recent_logins(limit, status, days, browser, os, ...)

List the most recent login checks (newest first) with risk score, status, location and device. Supports the same filters.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "number",
      "description": "How many to return (default 25, max 100)."
    },
    "status": {
      "type": "string",
      "description": "Filter by status, e.g. \"valid\" or \"invalid\"."
    },
    "days": {
      "type": "number",
      "description": "Look back this many days (default 30). Omit for all time."
    },
    "browser": {
      "type": "string",
      "description": "Filter by browser, case-insensitive partial match e.g. \"chrome\"."
    },
    "os": {
      "type": "string",
      "description": "Filter by operating system e.g. \"windows\"."
    },
    "country": {
      "type": "string",
      "description": "Filter by country e.g. \"United States\"."
    },
    "device": {
      "type": "string",
      "description": "Filter by device e.g. \"iphone\"."
    },
    "identity_key": {
      "type": "string",
      "description": "Filter to a single user identifier (email, user id, etc)."
    }
  }
}
🟢get_account_usage

Your LoginLlama account usage: remaining API credits for production and staging, and plan name.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}

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